\Header{mtcars}{Motor Trend Car Road Tests}
\keyword{datasets}{mtcars}
\begin{Description}\relax
The data was extracted from the 1974 \emph{Motor Trend} US magazine,
and comprises fuel consumption and 10 aspects of
automobile design and performance for 32 automobiles (1973--74
models).\end{Description}
\begin{Usage}
\begin{verbatim}data(mtcars)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 32 observations on 11 variables.
\Tabular{rll}{
[, 1] & mpg  & Miles/(US) gallon \\{}
[, 2] & cyl  & Number of cylinders \\{}
[, 3] & disp & Displacement (cu.in.) \\{}
[, 4] & hp   & Gross horsepower \\{}
[, 5] & drat & Rear axle ratio \\{}
[, 6] & wt   & Weight (lb/1000) \\{}
[, 7] & qsec & 1/4 mile time \\{}
[, 8] & vs   & V/S \\{}
[, 9] & am   & Transmission (0 = automatic, 1 = manual) \\{}
[,10] & gear & Number of forward gears \\{}
[,11] & carb & Number of carburettors
}\end{Format}
\begin{Source}\relax
Henderson and Velleman (1981),
Building multiple regression models interactively.
\emph{Biometrics}, \bold{37}, 391--411.\end{Source}
\begin{Examples}
\begin{ExampleCode}
data(mtcars)
pairs(mtcars, main = "mtcars data")
coplot(mpg ~ disp | as.factor(cyl), data = mtcars,
       panel = panel.smooth, rows = 1)
\end{ExampleCode}
\end{Examples}

